Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Finance · ·
$70.04
▼ $0.37 (-0.5%)
Market data updated: 10/01 01:05 AM
Fundamentals updated: 09/30/2026
News analyzed: 10/01/2026
Market Cap
$4.87B
Day Range
$69.09 - $70.62
52-Week Range
$67.81 - $89.83
Beta
—
Next Earnings
28.10.2026
Support
$68.82
Resistance
$86.19
-7.0% (1Y)
Strengths: 4/25 factors positiveRisk: Medium
This score and all analysis on this page are for informational and educational purposes only and do not constitute investment advice. Read the full disclaimer
Weighted: Technical 25% · Fundamental 20% · Growth 15% · Valuation 15% · News 10% · Quality 10% · Risk 5%
Overall Score
🟡 Mixed
Technical Trend
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Leverage risk
Debt/equity: 0.10
Risk
Biggest negative driver
Operating margin stability
Operating margin is eroding over time
Quality
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 0 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 0
TIME ECHO identifies historical situations that resemble the current market state. Historical outcomes are not guarantees of future performance. Similarity does not imply causation, and results may change as new data becomes available.
🗓️ What Changed This Week
🌱 Building History
We don't have a real data point from a week ago for this stock yet. The weekly comparison will appear once enough history has accumulated.
📊 Score History
45
Today
—
30D
—
90D
—
1Y
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
This isn't a price-direction forecast — just a synthesis of real, already-computed data, and future conditions that could change the picture.
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
40
Quality
47
Value
55
Momentum
9
Risk
56
Sentiment
100
Fundamental
57
Institutional
0
Stocks with a similar DNA right now
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage of Stifel Financial Corporation highlights its strong financial performance and strategic positioning in investment research and advisory. The firm’s subsidiary, 1919 Investment Counsel, was recognized as one of *Barron’s* Top 100 RIA Firms for the seventh consecutive year, underscoring its client-focused growth. Stifel maintained bullish ratings on companies like Santhera Pharmaceuticals and Microsoft, citing revenue growth and recovery potential, while also promoting First Industrial Realty Trust as a top REIT pick. The company reported record client assets and fee-based growth in August, reflecting broader market confidence amid rising interest rates. Additionally, Stifel hosted industry events, including a virtual forum featuring biotech firm Mineralys Therapeutics.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Stifel Financial Corporation. News trend score: 100. Reason: 11 of the last 20 articles are positive, versus 1 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
32
🎯 Conviction (vs. Emotion)
37
Psychology
56
Fundamentals
57
Technical
9
Valuation
55
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Price (3M)
-4%
Market Narrative
53
Fundamental Reality
37
Narrative Gap
+16
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
Signal classification confidence: High (confidence in the behavioral read, not a price prediction). Describes observable market behavior, not what any individual investor thinks, and is not a buy/sell signal.
🏛️ Investor DNA — Historical Investors
A Historical Strategy Simulation: assuming each investor follows their documented principles, how would they rate this stock today? This is not a prediction of what they would actually do.
🟢 Best match
Samuel Armstrong Nelson — 97/100
🔴 Weakest match
Thorstein Veblen — 22/100
🗣️ Why do they disagree?
This stock sparks a sharp divide between methodologies, with some legendary investors seeing strong potential while others dismiss it outright. The highest-scoring approaches—Bagehot (100), Nelson (97), and Graham’s Defensive Investor (92)—highlight its technical or fundamental attractiveness, framing it as either a cyclical bargain or a low-risk, high-quality holding. Meanwhile, the more skeptical camp, including Livermore (32), Fisher (27), and Veblen (22), rejects it entirely, either because it violates core trend-following rules, lacks Fisher’s signature growth traits, or aligns with Veblen’s critiques of speculative excess. Even within Graham’s framework, the Enterprising Investor (54) is far less enthusiastic than the Defensive Investor, suggesting the stock may not meet the stricter margin-of-safety bar. The middle ground—represented by Marks (62) and Malkiel/Bogle (42)—cautions that while the business itself may be sound, market expectations or the lack of clear outperformance justification make it a riskier bet.
Walter Bagehot
Lombard Street (1873)
🟢 100
Not enough balance-sheet data for a real Bagehot read
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 25%
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 97
Cycle position looks favorable — closer to oversold than overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 92
Attractive to a Defensive Graham Investor
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟢 88
A real, disciplined setup with favorable reward/risk
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 76
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟢 69
The kind of quiet compounder a patient holder could actually stick with
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 67
Looks like a real 'buy and hold for a decade' candidate
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟢 65
Reasonable capital-preservation profile
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 62
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 56
Somewhere in the middle of the cycle
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 54
Some discount, but not the deep 'net-net' bargain Graham's enterprising bar sets
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 42
Mixed case — the evidence for picking this stock over an index is not strong
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 32
Negative trend — against Livermore's core rule of trading with the trend
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🔴 28
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 27
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 22
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Based on the last 252 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 10 bearish · 1 neutral)
A market-structure read based purely on real price and volume data — not full classic Wyckoff schematic identification (Phase A-E), but a quantitative analysis of what can reliably be computed: trading ranges, "effort vs. result", volume within the range, and Spring/Upthrust detection.
The stock is in a clear downtrend with no defined trading range in the period examined.
Low confidence
The Wyckoff Method, developed by Richard Wyckoff in the early 20th century, reads the balance of supply and demand through price and volume, based on the premise that large investors ("smart money") quietly accumulate shares before rallies and quietly distribute them before declines. The read here is based solely on real price and volume data — full, precise identification of classic Wyckoff patterns (such as Phases A-E) requires human chart-reading experience and judgment, so this is an approximate algorithmic read, not a substitute for professional analysis. This should not be considered investment advice.
Gross Margin
—
Operating Margin
—
Net Margin
10.8%
EBITDA Margin
—
ROE
11.4%
ROA
1.7%
ROIC
—
EPS
$6.25
Cash
$2.25B
Total Debt
$617.44M
Current Ratio
—
Debt/Equity
0.10
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 1.9.2026 | $0.340 |
| 1.6.2026 | $0.340 |
| 2.3.2026 | $0.340 |
| 1.12.2025 | $0.307 |
| 2.9.2025 | $0.307 |
| 2.6.2025 | $0.307 |
| 3.3.2025 | $0.307 |
| 2.12.2024 | $0.280 |
| 3.9.2024 | $0.280 |
| 3.6.2024 | $0.280 |
| 29.2.2024 | $0.280 |
| 30.11.2023 | $0.240 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$54.31
Tangible Book Value per Share (Tangible NAV)
$40.03
Sentiment based on basic keywords (not AI) — 11 positive, 8 neutral, 1 negative out of the last 20 articles.
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Stifel Financial Corporation (SF) currently has a StockIQ AI score of 45/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
SF currently scores 45/100 (Moderate) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
SF's technical score is 9/100, which currently reads as bearish — based on real price/volume signals (moving averages, RSI, MACD, and more), not a prediction of what happens next.
Based on the real signals StockIQ computed: Debt/equity: 0.10; P/E: 12.0; Debt/equity: 0.10.
Based on the real signals StockIQ computed: Operating margin is eroding over time; Earnings per share (EPS) growth: -6.1%; Net income growth: -6.5%.
Yes — SF has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 2 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Brown Maryam S. | Open Market Sale | 23.7.2026 | 5,729 | -2,200 | $79.14 |
| Brown Maryam S. | Open Market Sale | 23.7.2026 | 7,929 | -2,500 | $79.25 |
| Grady Robert Edward | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| BROWN MICHAEL W | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| PEACOCK DAVID A | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| ZIMMERMAN MICHAEL J | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| Markus Maura A. | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| Brown Maryam S. | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| Kavanaugh James P. | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| Berlew Adam T. | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| Nesi Victor | Grant/Award from Employer | 9.6.2026 | 90,962 | +2,450 | $71.40 |
| Carnoy Lisa Landau | Grant/Award from Employer | 9.6.2026 | 2,450 | +2,450 | $71.40 |
| Kavanaugh James P. | Disposition to the Company | 4.6.2026 | 0 | -2,812 | — |
| Carnoy Lisa Landau | Exercise of Derivative Securities | 4.6.2026 | 10,611 | +2,812 | — |
| PEACOCK DAVID A | Exercise of Derivative Securities | 4.6.2026 | 0 | -2,812 | — |
| PEACOCK DAVID A | Exercise of Derivative Securities | 4.6.2026 | 13,764 | +2,812 | — |
| Markus Maura A. | Exercise of Derivative Securities | 4.6.2026 | 0 | -2,812 | — |
| BROWN MICHAEL W | Exercise of Derivative Securities | 4.6.2026 | 103,264 | +2,812 | — |
| Berlew Adam T. | Other Transaction | 4.6.2026 | 0 | -2,812 | — |
| Brown Maryam S. | Exercise of Derivative Securities | 4.6.2026 | 0 | -2,812 | — |
| ZIMMERMAN MICHAEL J | Exercise of Derivative Securities | 4.6.2026 | 0 | -2,812 | — |
| Markus Maura A. | Exercise of Derivative Securities | 4.6.2026 | 44,688 | +2,812 | — |
| ZIMMERMAN MICHAEL J | Exercise of Derivative Securities | 4.6.2026 | 71,562 | +2,812 | — |
| BROWN MICHAEL W | Exercise of Derivative Securities | 4.6.2026 | 0 | -2,812 | — |
| Brown Maryam S. | Exercise of Derivative Securities | 4.6.2026 | 10,429 | +2,812 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
4,702,543 shares short as of 2026-09-15 · vs. 4,378,913 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
40.2% of trading volume this week was short selling, vs. 58.5% the prior week
Based on daily short-sale volume (Reg SHO) — a different metric from the open short interest above: this is daily trading volume, not an open position, so it updates weekly rather than biweekly.
Full breakdown of every data type and its source: Data Sources · Methodology